SkillPool is a leading platform dedicated to transforming the way organizations hire and build exceptional teams.With SkillPool's innovative platform, we bring together the best of artificial intelligence and human insight to transform the way companies hire. We offer the power of our intelligent matching algorithms, which go far beyond simple keyword matching, and which are designed to save you time and effort while ensuring precise candidate-job alignment.As the Founder of SkillPool, my responsibilities include the following: - Developing the core Machine Learning technologies behind SkillPool's algorithm- Creating and managing the web application and API used in SkillPool's website- Managing the marketing for SkillPool, through the website blog and social media- Keeping track with the latest developments in AI technology, and ensuring that SkillPool maintains state-of-the-art technology

As a self-employed Artificial Intelligence/Reinforcement Learning Developer, my primary responsibility is to develop and implement AI/RL solutions for clients across various industries. Regularly use popular AI libraries such as Keras, Tensorflow, PyTorch, Numpy, and Scikit-Learn. Responsibilities:- Working closely with clients to understand their business needs and develop AI/RL solutions to meet those needs- Developing and implementing reinforcement learning algorithms and models using both PyTorch and Tensorflow frameworks- Deploying AI solutions to production environments and providing ongoing maintenance and support to ensure optimal performance- Keeping up-to-date with the latest AI technologies and trends, and incorporating them into my work as appropriate- Creating clear and concise documentation of all AI development projects

West Eagle Games is a video-game company that I have founded. The role of this company is to create and publish video games on the platform Steam. The company also manages the marketing of the developed games. Till date, West Eagle Games has listed the video game Arkell on Steam.

As a Machine Learning Intern at SatSure, my responsibility was to conduct a study into predicting the number of collision avoidance manoeuvres a particular satellite would have to take by using its TLE data. In this role, I researched the relations between the different features of the orbit of a satellite to the number of avoidance manoeuvres, and created different Machine Learning models for the same. I ended with writing a report on the work done, in which I detailed the models used and determined XGBoost to be the most efficient algorithm.

As a Data Science Intern for the community team at Jupiter, my responsibilities were to do with the users of Jupiter, and the data originating from those users. I helped to design a framework to generate regular user reports to determine current usage of the product as well as to determine potential improvements to the offered service.

I had hosted Doctrina Online MUN on July 11th and 12th 2020. Doctrina Online MUN was a great experience for the growth of critical thinking and international awareness in the youth, discussing topics plaguing the world at that time.This experience was the first time I had planned an event, and I managed to gather approx. 80 participants.